数据仓库技术正日益流行。
描述了基于数据仓库技术的企业计量方案设计。
Describes based on the data warehouse technology enterprise measurement project design.
数据仓库技术是当前信息技术领域的研究热点。
Data warehouse has became one hot research field in current Information Technology field.
目的应用数据仓库技术构建医院统计数据资源库。
Objective To establish Hospital Statistic Data-Resource Base by using the techniques of dada warehouse.
因此数据仓库技术在数字图书馆建设中是否是必要的？
Therefore data warehouse technology in the digital library building is necessary?
现在建立辅助决策支持系统主要是采用数据仓库技术。
Now the assistance decision support system mainly established with the data warehouse technology.
前言：目的：探讨运用数据仓库技术对患者信息进行存储。
Objective: Objective: Discuss the use of data warehouse technology to store patient information.
数据仓库技术对国内各行业的企业都是十分重要和必需的。
DW technology is very important to domestic enterprises in every trade.
本文主要研究基于数据仓库技术的决策支持系统的解决方案。
A scheme of DSS based on DW is mainly studied in this paper.
文章最后总结了量收系统存在的问题及数据仓库技术的发展前景。
Finally, the article summarized the problems of the metering and collection management system and prospects of data warehouse.
其主要技术包括应用cti技术、数据仓库技术和工作流技术等。
The major technology include application of CTI technology, data mining technology and work flow technology etc.
王珊等，数据仓库技术和联机分析处理1998。6科学出版社。
Wang shan etc., data warehousing and olap, 1998. 6, science press.
第2章介绍了数据仓库技术的概念并给出了数据立方体的理论基础。
Chapter 2 of data warehouse technology and the concept of a data cube is the theoretical foundation.
数据仓库技术作为联机分析处理系统的基础越来越受到人们的关注。
As the basis for Online Analytical Processing system, Data Warehouse is becoming more and more attractive.
数据仓库技术在电力系统中的应用已经成为当前研究的热点问题之一。
The application of the data warehouse technology in electric power system has become one of the most prevalent topics at present.
本文正是基于数据仓库技术来研究经营分析系统在企业的建设和应用。
The article analyze the application of BASS in enterprise on the base of the Data Warehouse.
提出了在油藏经营管理过程中的数据仓库技术、元数据及数据挖掘技术。
Brings the data warehouse technology, and metadata, data dig technology in reservoir management.
数据仓库技术还能极大地提高数据查询速度，适应指挥员快速决策的需要。
It will improve the speed of inquiry for the commander to use the technology of data warehouse, meeting the requirements of the commander to make the quick decision.
综合应用数据仓库技术与联机分析处理技术开发了外资管理决策支持系统。
With Data Warehouse and Online Analytical Processing (OLAP), a Decision Support System for Foreign Investment Management is developed.
数据仓库技术是基于数据管理和利用的综合性技术，为支持管理决策而设计。
The technology of data warehouse, a comprehensive technology based on data management and usage, is designed for supporting management policy.
该文旨在通过对数据仓库技术的简要分析，引出数据仓库技术在航空业的应用。
In this paper, aimed at data warehousing technology through a brief analysis, leads to data warehouse technology applications in the aviation industry.
分析了现行配置管理中存在的问题，提出了采用数据仓库技术的产品配置模型。
The problems that exist in current product composition management are analyzed, and a product compositing model is proposed.
其次介绍了金财工程的现状，并对数据仓库技术在金财工程中的应用进行了分析。
Secondly, the situation of GFMIS in china and the analysis of data warehouse technology being used in GFMIS are introduced.
同时结合数字图书馆的特征对应用于数字图书馆的数据仓库技术分别做了介绍和说明。
Combined with the features of digital libraries in the digital library of data storage technology are introduced and made notes.
从数据源到数据仓库一气呵成的集成式的操作，这是SAS数据仓库技术的重要特点。
It is the important characteristic of SAS data warehouse technology that the operation of integrated type formed a coherent whole from the data source to the data warehouse.
数据仓库技术采用了面向主题、多维联机分析等方法进行辅助决策是一个新兴的技术。
It is a new developing technology that data warehouse technology will adopt methods of confronting subject and multi-dimensional on-line analysis etc to undertake decision assistant.
立足于解决企业在决策支持中数据泛滥而导致的信息匮乏，并引入空间数据仓库技术。
Space data warehouse technology is introduced on the basis of the lack of information, which results from the wasting of data when the problems of decision support are solved in enterprises.
数据仓库技术的逐渐成熟，使得整个系统的数据库可以分为处理环境和分析环境两部分。
With the maturity of the data warehouse technology, it is rcasonable and feasible to divide the whole database into two parts: operational environment and analytic environment.
数据仓库技术的逐渐成熟，使得整个系统的数据库可以分为处理环境和分析环境两部分。
With the maturity of the data warehouse technology, it is rcasonable and feasible to divide the whole database into two parts: operational environment and analytic environment.
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